# lancedb.com

> AI-optimized mirror of lancedb.com containing 48 pages totalling 66,675 words of clean markdown content, structured data, and semantic HTML. Original source: https://lancedb.com/. Last updated: 2026-04-27T02:40:25.077Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Why Multimodal Data Needs a Better Lakehouse?](/site-root.html): The multimodal lakehouse for AI. One table for raw data, embeddings, and features. Searchable, processable, trainable across every stage of the model lifecycle. (3,861 words)

## Articles & Blog Posts

- [blog/benchmarking-random-access-in-lance/index.html](/blog/benchmarking-random-access-in-lance/index.html) (1 words)
- [lp/vs-pinecone/index.html](/lp/vs-pinecone/index.html) (1 words)
- [lp/vs-chroma/index.html](/lp/vs-chroma/index.html) (1 words)
- [blog/building-a-storage-format-for-the-next-era-of-biology.html](/blog/building-a-storage-format-for-the-next-era-of-biology.html) (1 words)
- [lp/graphrag-database-vs-lancedb-enterprise/index.html](/lp/graphrag-database-vs-lancedb-enterprise/index.html) (1 words)
- [blog/a-practical-guide-to-fine-tuning-embedding-models/index.html](/blog/a-practical-guide-to-fine-tuning-embedding-models/index.html) (1 words)
- [blog/a-primer-on-text-chunking-and-its-types-a420efc96a13.html](/blog/a-primer-on-text-chunking-and-its-types-a420efc96a13.html) (1 words)
- [lp/serverless-vectordb-vs-lancedb-enterprise/index.html](/lp/serverless-vectordb-vs-lancedb-enterprise/index.html) (1 words)
- [blog/advanced-rag-precise-zero-shot-dense-retrieval-with-hyde-0946c54dfdcb.html](/blog/advanced-rag-precise-zero-shot-dense-retrieval-with-hyde-0946c54dfdcb.html) (1 words)
- [blog/benchmarking-cohere-reranker-with-lancedb/index.html](/blog/benchmarking-cohere-reranker-with-lancedb/index.html) (1 words)
- [blog/branching-and-shallow-clone/index.html](/blog/branching-and-shallow-clone/index.html) (1 words)
- [blog/anythingllms-competitive-edge-lancedb-for-seamless-rag-and-agent-workflows.html](/blog/anythingllms-competitive-edge-lancedb-for-seamless-rag-and-agent-workflows.html) (1 words)
- [lp/vs-milvus-zilliz/index.html](/lp/vs-milvus-zilliz/index.html) (1 words)
- [blog/better-rag-with-active-retrieval-augmented-generation-flare-3b66646e2a9f.html](/blog/better-rag-with-active-retrieval-augmented-generation-flare-3b66646e2a9f.html) (1 words)
- [lp/redis-vector-search-vs-lancedb-enterprise/index.html](/lp/redis-vector-search-vs-lancedb-enterprise/index.html) (1 words)
- [lp/faiss-alternative/index.html](/lp/faiss-alternative/index.html) (1 words)
- [lp/s3-vector-database/index.html](/lp/s3-vector-database/index.html) (1 words)
- [lp/pgvector-vs-lancedb-enterprise/index.html](/lp/pgvector-vs-lancedb-enterprise/index.html) (1 words)
- [lp/weaviate-vs-lancedb-enterprise/index.html](/lp/weaviate-vs-lancedb-enterprise/index.html) (1 words)
- [blog/benchmarking-lancedb-92b01032874a-2/index.html](/blog/benchmarking-lancedb-92b01032874a-2/index.html) (1 words)
- [blog/agentic-coding-as-community-stewardship/index.html](/blog/agentic-coding-as-community-stewardship/index.html) (1 words)
- [lp/vs-opensearch/index.html](/lp/vs-opensearch/index.html) (1 words)
- [blog/a-practical-guide-to-training-custom-rerankers/index.html](/blog/a-practical-guide-to-training-custom-rerankers/index.html) (1 words)
- [contact/index.html](/contact/index.html) (1 words)
- [customers/index.html](/customers/index.html) (1 words)
- [blog/agentic-rag-using-langgraph-building-a-simple-customer-support-autonomous-agent.html](/blog/agentic-rag-using-langgraph-building-a-simple-customer-support-autonomous-agent.html) (1 words)
- [blog/hybrid-search-combining-bm25-and-semantic-search-for-better-results-with-lan-1358038fe7e6.html](/blog/hybrid-search-combining-bm25-and-semantic-search-for-better-results-with-lan-1358038fe7e6.html) (1 words)
- [blog/openclaw-lancedb-memory-layer/index.html](/blog/openclaw-lancedb-memory-layer/index.html) (1 words)
- [blog/index.html](/blog/index.html) (1 words)
- [blog/volcano-engine-autonomous-driving-data-lake-solution.html](/blog/volcano-engine-autonomous-driving-data-lake-solution.html) (1 words)
- [Chunking Techniques with Langchain and LlamaIndex](/blog/chunking-techniques-with-langchain-and-llamaindex/index.html): In our last blog, we talked about chunking and why it is necessary for processing data through LLMs.  We covered some simple techniques to perform text chunking. (6,738 words)
- [The Future of AI-Native Development is Local: Inside Continue's LanceDB-Powered Evolution](/blog/ai-native-development-local-continue-lancedb/index.html): Discover how Continue revolutionized AI-native development with LanceDB's embedded TypeScript library, enabling lightning-fast semantic code search while maintaining complete developer privacy and offline capability. (4,297 words)
- [Accelerate Vector Search Applications Using OpenVINO & LanceDB](/blog/accelerate-vector-search-applications-using-openvino-lancedb.html): We show how to use the CLIP from OpenAI for Text-to-Image and Image-to-Image searching. We’ll also do a comparative analysis of the PyTorch model, FP16 OpenVINO format, and INT8 OpenVINO format in terms of speedup. (3,899 words)
- [Multimodal Vector Database for Image, Video & Text](/lp/multimodal/index.html) (3,426 words)
- [Vector Search on Object Storage. Scale Without the RAM Tax.](/lp/best-vector-database/index.html) (3,390 words)
- [LanceDB Article Highlights](/lp/vs-mongodb-atlas-vector/index.html) (3,415 words)
- [Vector search on object storage: Performance at scale without the infrastructure tax](/lp/vector-db-guide/index.html) (3,575 words)
- [Why Multimodal Data Needs a Better Lakehouse?](/lp/vs-databricks/index.html) (3,406 words)
- [Qdrant alternative. Vector search without the RAM tax.](/lp/vs-qdrant/index.html) (3,439 words)
- [The Managed LanceDB Vector Database](/lp/lancedb-enterprise/index.html) (3,340 words)
- [Vector Search for AWS: Turn Your S3 Bucket into a Vector Database](/lp/aws-vector-database-vs-lancedb-enterprise/index.html) (3,454 words)
- [LanceDB](/lp/cloud-vector-search-vs-lancedb-enterprise/index.html) (3,422 words)
- [Native Vector Search. No Elasticsearch Overhead.](/lp/vs-elastic/index.html) (3,402 words)
- [Build Production-Ready RAG Applications](/lp/rag-hybrid-search/index.html) (3,445 words)
- [Why Multimodal Data Needs a Better Lakehouse?](/download/index.html): Download LanceDB white papers, guides, and ebooks. Learn multimodal AI, RAG, and search with practical resources, examples, and production patterns. (3,308 words)
- [Why Multimodal Data Needs a Better Lakehouse?](/lp/turbopuffer-vs-lancedb-enterprise/index.html) (3,372 words)
- [Vector search for your data lake: Query embeddings where they live.](/lp/data-lake-vector-search-vs-lancedb-enterprise/index.html) (3,456 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives